June 19-22, 2017
Chicago, IL
Delivering on the promise of data science
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All level tracks Blue circle sessions are for All Levels
Red triangle sessions are Expert/Practitioner Level
Green dollar-sign sessions denote financial services


Agenda Overview – Chicago – June 2016
Pre-Conference Workshop: Sunday, June 19, 2016
Three hour Workshop • Room: Salon A5
R Bootcamp: For Newcomers to R
Max Kuhn, Pfizer

Pre-Conference Workshops: Monday, June 20, 2016
Full-day Workshop • Room: Salon A5
R for Predictive Modeling:
A Hands-On Introduction

Max Kuhn, Pfizer
Full-day Workshop • Room: Salon A4
Advanced Methods Hands-on:
Predictive Modeling Techniques

Dean Abbott, Abbott Analytics
Sponsored By:
Full-day Workshop • Room: Salon A2
Hadoop for Predictive Analytics:
Hands-On Lab

James Casaletto, MapR Technologies

DAY 1, Tuesday, June 21, 2016
(PAW Manufacturing and Text Analytics World run in parallel on this day - dual registration required)
8:00-8:45am Registration & Networking Breakfast
Room: Salon A Prefunction
8:55-9:00am Conference Welcome
Adam Kahn, Rising Media, Inc.
Room: Salon A5
9:00-9:50am
Keynote • Room: Salon A5
Weird Science: How to Know Your Predictive Discovery Is Not BS
Eric Siegel, Predictive Analytics World
9:50-10:00am Lightning Round
  UCI  Aginity
Room: Salon A5
10:00-10:30am Exhibits & Morning Coffee Break
Room: Salon A Prefunction
  Track 1: All Levels
Room: Salon A2
Track 2: Expert/Practitioners
Room: Salon A5
Predictive Salesforce Online Marketing
10:30-11:15am Case Study: Vivint All level tracks
Data Driven Selling: Enabling a Direct Salesforce with Tools that Re-Enforce Predictive Selling Methods
Lawrence Cowan, Cicero Group
Case Study: SmarterHQ
The Revolution in Retail Customer Intelligence
Dean Abbott, SmarterHQ
11:20am - 11:40am Uplift Modeling Workforce Analytics
Case Study: Telenor
Intro to Uplift Modeling - Persuade
by the Numbers

Eric Siegel, Predictive Analytics World
Self-Organizing Job Paths: Markov Chains, Predictive Models and More
Pasha Roberts, Talent Analytics, Corp.
11:45am-12:05pm Market Research
Case Study:Genentech All level tracks
Utilizing Advanced Analytics
to Generate Insights

Alice Chung, Genentech
Hsing-Chien Kao, Incendo
12:10-1:45pm DAA Industry Lunch
Room: Salon 1
Lunch in Exhibit Hall
Room: Salon A Prefunction
12:30-1:15pm Book Signing
Revised and Updated Predictive Analytics:
The Power to Predict Who Will Click, Buy, Lie, or Die

Eric Siegel, Founder, Predictive Analytics World
Books are free to PAW Business attendees & speakers
Room: Salon A Prefunction
1:50-2:35pm
Keynote • Room: Salon A5
Topic: Uplift Modeling
Persuasion Modeling in Presidential Campaigns and How It Applies to Business
Daniel Porter, BlueLabs, Obama for America
  Track 1: All Levels
Room: Salon A2
Track 2: Expert/Practitioners
Room: Salon A5
2:40pm-3:00pm Bayesian Networks; Attribution (driver analysis) Model Deployment
Case Study: MerkleAll level tracks
A Better Approach to Driver Analysis
Bob Wood & Toshi Yumoto, Merkle
Best Practices for Deploying Analytic Models into Operations
Robert Grossman, Open Data Group
3:05pm-3:25pm Financial TrackAgile Analytics Project Management
Case Study: Allstate All level tracks
Agile Methodologies for
Data Science Projects

Shavar Beckford, Allstate
3:25-3:55pm Exhibits & Afternoon Break
Room: Salon A Prefunction
  Track 1: All Levels Track 2: Expert/Practitioners
  Financial TrackInsurance Sales Forecasting
3:55-4:15pm Case Study: Zurich North America All level tracks
Data Science in the Insurance industry -- Is There Still an Arms Race?
Eugene Choi, Zurich North America
Case Study: Monsanto
Neurons or Transistors? How Monsanto Is Using Predictive Analytics for Sales Forecasting to to Drive Decisions
Naveen Singla, Monsanto
Predictive Analytics in Entertainment Market Research
4:20-4:40pm Case Study: Lyric Opera of Chicago All level tracks
The Perfect Ensemble -- Predictive Analytics and the Performing Arts

Lisa Middleton, Lyric Opera of Chicago
Case Study: National Consumer PanelAll level tracks
Using Predictive Analytics to Optimize Organizational KPI's: A Panel Market Research Case Study
Thomas Schleicher, National Consumer Panel
B-2-B; Thought Leadership Financial TrackUplift Modeling
4:45-5:30pm Case Study: EMC All level tracks
The Power of Predictive Analytics to Strengthen B2B Customer Relationships

Deep Khadka, EMC Corporation
Case Study: A Top 20 US bank
Evaluate A Marketing Campaign's Success Using Uplift Modeling
Karan Bhalla, IQR Consulting
5:30-7:00pm Networking Reception
Room: Salon A Prefunction

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DAY 2, Wednesday, June 22, 2016
(PAW Manufacturing and Text Analytics World run in parallel on this day - dual registration required)
8:00-9:00am Registration & Networking Breakfast
Room: Salon A Prefunction
9:00-9:10am Opening and Welcome
Room: Salon A5
9:15-10:00am
Keynote • Room: Salon A5
Rethinking Analytics in a Service-Oriented World
Josh Hemann, Activision
  Track 1: All Levels
Room: Salon A2
Track 2: Expert/Practitioners
Room: Salon A5
10:00am - 10:45am Financial TrackTracking Satisfaction Via Social Media Modern Data Challenges
Case Studies: Capital One, Chase
and Experian
All level tracks
How Well Do You Really Know
Your Customer?

Steven Ramirez, Beyond the Arc
Demystifying the Confusion of Big Data in Customer Level Predictive Analytics Solutions
Richard Boire, Environics Analytics
10:45-11:15am Exhibits & Morning Coffee Break
Room: Salon A Prefunction
11:15am-12:00pm Financial TrackWorkforce Analytics Best Practices
Case Study: PaychexAll level tracks
Predicting Employee Churn with Anonymity
Mark Heiler, Paychex
Q&A: Ask Dean and Robert Anything (about Best Practices)
Dean Abbott, SmarterHQ
Robert Grossman, Open Data Group
12:00-1:30pm Lunch in Exhibit Hall
Room: Salon A Prefunction
1:30-2:15pm Special Plenary Session Room: Salon A5
Doing Space-Age Analytics with Our Hunter-Gatherer Brains
John Elder, Elder Research
2:15-3:00pm Expert Panel Room: Salon A5
Data Prep: Overcoming the Bottleneck and Nailing It
Moderator: Eric Siegel, Predictive Analytics World
Panelists:
Mahesh Kumar, Tiger Analytics
Satadru Sengupta, DataRobot
Boris Zibitsker, BEZNext
3:00-3:30pm Exhibits & Afternoon Break
Room: Salon A Prefunction
  Track 1: All Levels
Room: Salon A2
Track 2: Expert/Practitioners
Room: Salon A5
3:30-3:50pm Thought Leadership Price Optimization
Data Science Mindset for the Rest of Us All level tracks
Michael Li, The Data Incubator
Case Study: Visible World
Pricing Prediction for Advanced TV Advertising
Bob Bress, Visible World
3:55-4:15pm Market Mix Modeling
Case Study: Charter CommunicationsAll level tracks
Sales Attribution, Lessons from the Non-Digital World
Tanya Zyabkina, Charter Communications
4:15-5:00pm Aviation and Risk Modeling Inventory Management
Case Study: LEADS AEROSPACE All level tracks
Optimizing Model-Based Risk Management in the Aviation Industry

Babacar Seck, LEADS AEROSPACE
Case Study: Hewlett Packard
Retail Shrink Prediction to Improve Store Operation Efficiency

Gitali Halder, Hewlett-Packard

Post-Conference Workshop: Thursday, June 23, 2016
Full-day Workshop Room: Salon A2
The Best and the Worst of Predictive Analytics:
Predictive Modeling Methods and Common Data Mining Mistakes

John Elder, Elder Research, Inc.
Full-day Workshop Room: Salon A4
Supercharging Prediction with Ensemble Models
Dean Abbott, Abbott Analytics

Sponsored By:
Full-day Workshop Room: Mobley
Making Text Mining Work: Practical Methods and Solutions
Andrew Fast, Elder Research Inc.

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